The global diabetes market is dominated by a few large industry players. These include Novo Nordisk, Takeda, Sanofi-Aventis and Eli Lilly. The key growth drivers in the industry include the steady increase in the average age of the global population, with older people more likely to have increased insulin resistance, and the growing obese population. Despite these key drivers, the industry is expected to remain threatened by a number of challenges, including the high cost of diabetes care, which is a huge burden for families.

Diabetes is a group of metabolic diseases in which the person has high blood glucose (blood sugar) either because insulin production is inadequate, or because the bodys cells do not respond properly to insulin, or both. Prediabetes happens when a persons blood glucose levels are higher than normal but not high enough to be type 2 diabetes. Type 1 diabetes, Type 2 diabetes and Gestational diabetes are the three types of diabetes. There are mainly three types of diabetes treatment which include insulin, oral antidiabetic drug (OAD) and glucagon-like-peptide-1 (GLP-1).

Report Scope

The report examines the diabetes market on a global scale and its various segments and also provides detailed information regarding the key regional markets. The region that has the largest diabetic population is Western Pacific followed by South East Asia and other regions. In terms of prevalence rate, the largest region is Middle East and North Africa accompanied by North America and Caribbean. Europe is the market leader in the insulin market worldwide whereas North America accounts for the largest share in the global GLP-1 market.

The competitive landscape of the global and regional diabetes markets, along with the company profiles of the leading players are discussed in detail.

By combining SPSS Inc.s data integration and analysis capabilities with our relevant findings, we have predicted the future growth of the industry. We employed various significant variables that have an impact on this industry and created regression models with SPSS Base to determine the future direction of the industry. Before deploying the regression model, the relationship between several independent or predictor variables and the dependent variable was analyzed using standard SPSS output, including charts, tables and tests.

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